My name is Anderson Monken and I’m a Data Science Manager and an Adjunct Professor in Data Science

I specialize in big data, natural language processing, and machine learning. My research interests focus on the application of artificial intelligence to improve economic policymaking.

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Group Manager

International Finance Division - Federal Reserve Board of Governors

Feb 2022 – Present Washington D.C.

I am the group manager for the Data Science and Application Development (DSAD) group, which serves as in-house experts in application design, automation, data science, big data, and AI for research, policy, and operational needs at the Federal Reserve Board. We host the Data Science and Engineering Hub in the Division of International Finance.

I lead of a team of 5 data scientists and application developers who manage applications and data that serve hundreds of internal staff. We contribute to the Board’s cloud adoption efforts and maintain many important climate, textual, and trade databases.

Please reach out to me if you want to talk about data science for economics!


Adjunct Faculty

Data Sicence and Analytics Program - Georgetown University

Jun 2021 – Present Washington D.C.
Teaching graduate students skills in machine learning, data science, and big data

Technology Analyst

International Finance Division - Federal Reserve Board of Governors

Oct 2018 – Feb 2022 Washington D.C.

Responsibilities include:

  • Research on international trade using machine learning
  • PySpark textual analysis on big data
  • Hadoop database management and wrangling
  • Teaching data science and machine learning topics to staff

Senior Research Assistant

International Finance Division - Federal Reserve Board of Governors

Jun 2017 – Sep 2018 Washington D.C.

Responsibilities included:

  • Upgrading macroeconomic forecasting architecture
  • Researching developments in labor force participation in advanced economies


Special Achievement Award

Award can be received once in your career at the Federal Reserve Board and is awarded to 10-30 staff per year across the entire organization.

Award Description: “Anderson receives the award for his extraordinary initiative and innovation in advancing the Board’s data management and analytics capabilities. He worked across the Board and Federal Reserve System to promote innovative techniques and new technologies to change how analysts do their work. His efforts have made big-data analysis, machine learning, artificial intelligence, text analysis, and cloud computing more accessible to other staff, enabling these techniques to become integral parts of regular processes.”

Master of Science - Data Science and Analytics

Developed skills in data science, machine learning, and deep learning.

  • GPA 4.0/4.0
  • Teaching Assistant for ANLY 501/502/511/512

Bachelor of Arts

Majors in Chemistry, Economics, and Mathematics

  • Highest Honors in Economics
  • Honors in Chemistry
  • Phi Beta Kappa
  • GPA 3.9 / 4.0

Recent Publications

Demonstrating relationship between textual analytics sentiment and output prices during global supply chain bottlenecks.

Harnessing big data techniques to analyze bill of lading data for timely international trade indicators.

Novel graph neural network method to model worldwide trade in the context of a network graph to predict trade unit value.

Ensemble machine learning and association rules mining to improve agricultural trade during outlier events.


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